我最终从.p文件中读取了数据:

I ended up with read the data back from the .p file:

[whatever_data]=pickle.load( open( "myallData.p", "rb" ) )

然后使用scipy将数据转换并保存到.mat

Then use scipy to convert and save the data to .mat

import numpy, scipy.io
scipy.io.savemat('/home/myfiles/mydata.mat', mdict={'whatever_data': whatever_data})

为避免与泡菜打交道.